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      동해 연안의 추적자 확산 정보를 제공하는 장거리형 고주파 해양 레이더 시스템 = Dispersion of passive tracers from long-range HF radar systems along the east coast of Korea

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      https://www.riss.kr/link?id=A106175753

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      다국어 초록 (Multilingual Abstract)

      We have conducted a virtual surface layer dispersion experiment using the long-range High Frequency radar (HFR) measurements off the east coast of Korea, and investigated the spreading characteristics of the surface waters in the vicinity of two cities, YoungDuk and UlJin for three days of experiments utilizing with random flight model (Markovian stochastic model). The diffusion coefficient was estimated as (Kx, Ky) = (192, 251) m2/s with zonal and meridional dispersions (  ,  ) = (0.0013, 0.017) m/s and turbulence time scales (Tu, Tv) = (4, 4) hours derived from exponential fitting of lagged autocorrelation of difference between the HFR-derived and surface drifter-derived currents. During the experiment period, the centroid of the spatial particle distribution moved northward 80 km from the initial position following the East Korea Warm Current (EKWC) and its area became more than 500 times than the initial area. The trajectory and distribution of the surface particles are dependent on the EKWC and diffusion coefficient. Long-term and real-time continuous monitoring system of HFR needs to be combined into national system to improve search and rescue (SAR), and prevent coastal disasters (e.g., oil spill, marine litter) for risk management.
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      We have conducted a virtual surface layer dispersion experiment using the long-range High Frequency radar (HFR) measurements off the east coast of Korea, and investigated the spreading characteristics of the surface waters in the vicinity of two citie...

      We have conducted a virtual surface layer dispersion experiment using the long-range High Frequency radar (HFR) measurements off the east coast of Korea, and investigated the spreading characteristics of the surface waters in the vicinity of two cities, YoungDuk and UlJin for three days of experiments utilizing with random flight model (Markovian stochastic model). The diffusion coefficient was estimated as (Kx, Ky) = (192, 251) m2/s with zonal and meridional dispersions (  ,  ) = (0.0013, 0.017) m/s and turbulence time scales (Tu, Tv) = (4, 4) hours derived from exponential fitting of lagged autocorrelation of difference between the HFR-derived and surface drifter-derived currents. During the experiment period, the centroid of the spatial particle distribution moved northward 80 km from the initial position following the East Korea Warm Current (EKWC) and its area became more than 500 times than the initial area. The trajectory and distribution of the surface particles are dependent on the EKWC and diffusion coefficient. Long-term and real-time continuous monitoring system of HFR needs to be combined into national system to improve search and rescue (SAR), and prevent coastal disasters (e.g., oil spill, marine litter) for risk management.

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      참고문헌 (Reference)

      1 김호균, "한국연안 고주파 해양레이더망 운영과 활용 개관" 대한원격탐사학회 34 (34): 351-375, 2018

      2 이상호, "금강하구 연안역에서 HF radar로 측정한 유속의 정확도" 한국해양학회 13 (13): 42-55, 2008

      3 David S. Ullman, "Trajectory prediction using HF radar surface currents: Monte Carlo simulations of prediction uncertainties" American Geophysical Union (AGU) 111 (111): 2006

      4 Shawn C. Shadden, "The correlation between surface drifters and coherent structures based on high-frequency radar data in Monterey Bay" Elsevier BV 56 (56): 161-172, 2009

      5 Yisen Zhong, "Submesoscale impacts on horizontal and vertical transport in the Gulf of Mexico" American Geophysical Union (AGU) 118 (118): 5651-5668, 2013

      6 Jun Choi, "Submesoscale Dynamics in the Northern Gulf of Mexico. Part III: Lagrangian Implications" American Meteorological Society 47 (47): 2361-2376, 2017

      7 Francisco J. Beron-Vera, "Statistics of Simulated and Observed Pair Separations in the Gulf of Mexico" American Meteorological Society 46 (46): 2183-2199, 2016

      8 Andrew C. Poje, "Resolution dependent relative dispersion statistics in a hierarchy of ocean models" Elsevier BV 31 (31): 36-50, 2010

      9 J. Carter Ohlmann, "Relative dispersion observations and trajectory modeling in the Santa Barbara Channel" American Geophysical Union (AGU) 117 (117): 2012

      10 Barrick, D. E., "Ocean Surface Currents Mapped by Radar" 198 : 138-144, 1977

      1 김호균, "한국연안 고주파 해양레이더망 운영과 활용 개관" 대한원격탐사학회 34 (34): 351-375, 2018

      2 이상호, "금강하구 연안역에서 HF radar로 측정한 유속의 정확도" 한국해양학회 13 (13): 42-55, 2008

      3 David S. Ullman, "Trajectory prediction using HF radar surface currents: Monte Carlo simulations of prediction uncertainties" American Geophysical Union (AGU) 111 (111): 2006

      4 Shawn C. Shadden, "The correlation between surface drifters and coherent structures based on high-frequency radar data in Monterey Bay" Elsevier BV 56 (56): 161-172, 2009

      5 Yisen Zhong, "Submesoscale impacts on horizontal and vertical transport in the Gulf of Mexico" American Geophysical Union (AGU) 118 (118): 5651-5668, 2013

      6 Jun Choi, "Submesoscale Dynamics in the Northern Gulf of Mexico. Part III: Lagrangian Implications" American Meteorological Society 47 (47): 2361-2376, 2017

      7 Francisco J. Beron-Vera, "Statistics of Simulated and Observed Pair Separations in the Gulf of Mexico" American Meteorological Society 46 (46): 2183-2199, 2016

      8 Andrew C. Poje, "Resolution dependent relative dispersion statistics in a hierarchy of ocean models" Elsevier BV 31 (31): 36-50, 2010

      9 J. Carter Ohlmann, "Relative dispersion observations and trajectory modeling in the Santa Barbara Channel" American Geophysical Union (AGU) 117 (117): 2012

      10 Barrick, D. E., "Ocean Surface Currents Mapped by Radar" 198 : 138-144, 1977

      11 Sung Yong Kim, "Objectively mapping HF radar-derived surface current data using measured and idealized data covariance matrices" American Geophysical Union (AGU) 112 (112): 2007

      12 Carter Ohlmann, "Interpretation of Coastal HF Radar–Derived Surface Currents with High-Resolution Drifter Data" American Meteorological Society 24 (24): 666-680, 2007

      13 O’Donnell, J., "Integration of Coastal Ocean Dynamics Application Radar (CODAR) and Short-Term Prediction System (STPS)Surface Current Estimates into the Search and Rescue Optimal Planning System (SAROPS)" 2005

      14 Berta, M., "Improved Surface Velocity and Trajectory Estimates in the Gulf of Mexico from Blended Satellite Altimetry and Drifter Data" 32 : 1880-1901, 2014

      15 A.C. Haza, "Impact of submesoscales on surface material distribution in a gulf of Mexico mesoscale eddy" Elsevier BV 107 : 28-47, 2016

      16 Stewart, R. H., "HF Radio Measurements of Ocean Surface Currents" 21 : 1039-1049, 1974

      17 Rypina, I. I., "Drifter-based Estimate of the 5 year Dispersal of Fukushima-derived Radionuclides" 119 : 8177-8193, 2014

      18 A. Molcard, "Comparison between VHF radar observations and data from drifter clusters in the Gulf of La Spezia (Mediterranean Sea)" Elsevier BV 78 : S79-S89, 2009

      19 Griffa, A., "Applications of Stochastic Particle Models to Oceanographic Problems, in Stochastic Modeling in Physical Oceanography" 39 : 114-140, 1996

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